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Linkedin
Scraping Teardown

Find out everything you need to know to reliably scrape Linkedin,
including scraping guides, Github Repos, proxy performance and more.

Linkedin Web Scraping Overview

Linkedin implements multiple layers of protection to prevent automated data extraction. This section provides an overview of its anti-bot systems and common challenges faced when scraping, along with insights into how these protections work and potential strategies to navigate them.

Scraping Summary

LinkedIn is a professional networking site that hosts extensive job listings and resume postings. It's a popular target for web scraping, particularly for recruiters and market researchers who are interested in the rich job and professional data it contains. The company has implemented various anti-scraping systems, including sophisticated rate limiting and bot detection mechanisms, which makes scraping a challenging task. For successful scraping, methods such as rotating proxies, using headless browsers, and mimicking human-like actions might be necessary. The website mainly uses a dynamic structure, so keeping up with changes in its layout and AJAX calls can require steady maintenance of the scraper. Parsing the data can be quite laborious due to the nested nature of user profiles and connections.

9.5 / 10

Scraping Difficulty
The difficulty score indicates how easy the website is to scrape.

Best Linkedin Proxies

Proxy statistics and optimal proxy providers for scraping Linkedin. Learn which proxy types work best, their success rates, and how to minimize bans with the right provider.

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Proxy API Providers

Compare the top proxy API providers for scraping Linkedin. See which providers offer the best performance, success rates, and value for your web scraping needs.

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ScrapeOps Proxy API Aggregator

Use over 20+ web scraping proxy API providers from a single proxy port. The ScrapeOps Proxy API Aggregator automatically selects the best-performing and most cost-effective provider for each request, continuously monitors performance, and switches providers if one gets blocked. Never worry about CAPTCHAs or bans again—we handle it all automatically.

Proxy API Performance Comparisons

We're working on bringing you comprehensive proxy API provider comparisons for Linkedin. Check back soon for detailed statistics, performance metrics, side-by-side comparisons, and recommendations to help you choose the best proxy API provider for scraping Linkedin.

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Residential Proxy Providers

Compare the top residential and mobile proxy providers for scraping Linkedin. See which providers offer the best performance, success rates, and value for your web scraping needs.

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ScrapeOps Residential Proxy Aggregator

Use over 20+ residential & mobile proxy providers from a single proxy port. The ScrapeOps Residential Proxy Aggregator automatically selects the best-performing and most cost-effective provider for each request, continuously monitors performance, and switches providers if one gets blocked. Never worry about CAPTCHAs or bans again—we handle it all automatically.

Residential Proxy Performance Comparisons

We're working on bringing you comprehensive residential and mobile proxy provider comparisons. Check back soon for detailed statistics, performance metrics, side-by-side comparisons, and recommendations to help you choose the best residential proxy provider for scraping Linkedin.

Linkedin Anti-Bots

Anti-scraping systems used by Linkedin to prevent web scraping. These systems can make it harder and more expensive to scrape the website but can be bypassed with the right tools and strategies.

Detected 1 Anti-bot system

Linkedin Custom Anti-Bot

Linkedin uses their own custom built anti-scraping system designed to hamper and/or prevent web scraping. Linkedin uses a combination of techniques to detect and block scrapers. Linkedin's protections can be bypassed using a number of techniques.

6/ 10

Bypass Difficulty

Bypass Options

Linkedin Data

Explore the key data types available for scraping and alternative methods such as public APIs, to streamline your web data extraction process.

Data Types

No data types found

Public APIs

Available
Free API

API Description

LinkedIn provides a public API that allows access to a variety of user-specific data, such as profile details, connections, messages, and network updates. The API is heavily focused on providing data related to the authenticated user and cannot be utilized to extract information about other users unless an explicit connection or permission is given.The API does not facilitate the extraction of data of all users and their public profiles. Therefore, for broad public data collection, LinkedIn neither provides a public API nor permits scraping (as stated in their robots.txt and terms & conditions).

Access Requirements

An API key is required, which is received when registering an application on LinkedIn's developers' site. The authenticated user's data can be accessed as per user's privacy settings.

API Data Available

User Profile Data
User Activity Data
Session Data
Network Data

Why People Use Web Scraping?

LinkedIn's API is limited to user-specific information, and it does not allow public access to overall data for all users and their profiles, thus leaving developers and researchers no choice but web scraping to gather such data. Web scraping can provide a wealth of data from user profiles, job postings, company pages, and more, much of which is not accessible through LinkedIn's API.However, it's important to note that LinkedIn strictly prohibits scraping of its website data (as stated in its robots.txt file and terms & conditions), so anyone caught gathering data this way is likely to face legal consequences. Thus, while scraping may be technically feasible, it is legally and ethically questionable and generally discouraged.

Linkedin Lawsuits

Legal Actions Against Scrapers: A history of lawsuits filed by the website owner against scrapers and related entities, highlighting legal disputes, claims, and outcomes.

Lawsuits Summary

Linkedin has been involved in 2 legal disputes related to web scraping, primarily targeting companies and individuals who scrape its product data, pricing information, and customer reviews without authorization.

Found 2 lawsuits

hiQ Labs, Inc. v. LinkedIn Corporation
won

hiQ Labs, a data analytics company, scraped publicly available LinkedIn profiles for professional skill analysis. LinkedIn sent a cease-and-desist letter to hiQ Labs and implemented technical measures to block their access.The case centered on whether scraping publicly available data from a website could be considered a violation of the Computer Fraud and Abuse Act (CFAA).

Plaintiff

hiQ Labs, Inc.

Defendant

LinkedIn Corporation

Date filed

23 May 2017 - 18 Apr 2022

Legal Basis
Unauthorized Access

LinkedIn Corp. v. hiQ Labs, Inc.
won

LinkedIn sued hiQ Labs for scraping publicly available data from LinkedIn profiles. The case centered on whether scraping publicly accessible data from a website violates the Computer Fraud and Abuse Act (CFAA).This landmark case had significant implications for the legality of web scraping and the interpretation of the CFAA.

Plaintiff

LinkedIn Corporation

Defendant

hiQ Labs, Inc.

Date filed

8 May 2017 - 18 Apr 2022

Legal Basis
Unauthorized Access

Linkedin Github Repos

Find the best open-source scrapers for Linkedin on Github. Clone them and start scraping straight away.

Language
Code Level
Stars
Maintained
Last updated 1 month ago

LinkedIn Data Scraper is a tool that extracts valuable data from LinkedIn profiles and company pages. It can collect profile details, including contact information and work experiences, and format the data for further use, such as in automation software.


Page Types: User Profile, Company Page

Language:
python
Code Level:
professional
Created
9 years ago
981 Stars
146 Forks
Maintained
Last updated 4 months ago

JobSpy is a job scraping library that aggregates job postings from various job boards like LinkedIn, Indeed, and Glassdoor. It provides features for concurrent scraping and data aggregation into a dataframe, allowing users to manage job postings efficiently.


Page Types: Job Page, Job List

Language:
python
Code Level:
professional
Created
2 years ago
2.4K Stars
501 Forks
Unmaintained
Last updated 7 months ago

Linkedin Scraper is a tool that extracts user data, company information, and job postings from LinkedIn. It allows users to scrape profiles, company details, and job searches, even from sites that require login credentials.


Page Types: User Profile, Company Page, Job Page, Job List

Language:
python
Code Level:
professional
Created
8 years ago
3.5K Stars
820 Forks
Unmaintained
Last updated 8 months ago

LinkedIn Jobs Scraper is a tool designed to extract job postings from LinkedIn that leverages the Selenium WebDriver to handle dynamically rendered content. It provides an interface to perform searches for job listings based on keywords and locations using a premium user account.


Page Types: Job Page, Job List

Language:
python
Code Level:
professional
Created
8 months ago
160 Stars
69 Forks
Last updated 9 months ago

linkedin-jobs-scraper is a tool designed to extract publicly available job listings from LinkedIn. It captures essential job details such as job ID, title, company, location, and description, providing a streamlined way to access job information.


Page Types: Job Page, Job List

Language:
python
Code Level:
immediate
Created
5 years ago
452 Stars
114 Forks
Unmaintained
Last updated 1 year ago

linkedin-scraper is a tool for extracting data from public LinkedIn profiles that retrieves information such as names, job titles, locations, and companies. It enables users to obtain detailed career information and connections through easy-to-use Ruby gem functionalities.


Page Types: User Profile

Language:
ruby
Code Level:
professional
Created
13 years ago
565 Stars
217 Forks
Last updated 1 year ago

LinkedIn Profile Scraper is a tool designed to extract publicly available data from LinkedIn profiles. It efficiently retrieves structured information such as work experience, education, and skills using a Puppeteer headless browser.


Page Types: User Profile

Language:
typescript
Code Level:
professional
Created
7 years ago
718 Stars
175 Forks
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Linkedin Web Scraping Articles

Find the best web scraping articles for Linkedin. Learn how to get started scraping Linkedin.

Language
Code Level

How to Scrape a Website that Requires Login with Python - DEV Community

This article shows how to scrape data from a website that requires user authentication using Python. It provides a detailed guide with code examples on handling different login scenarios and accessing protected pages.

python

1 min to read

dev.to

How to Scrape LinkedIn in 2025

This guide provides insights into scraping LinkedIn data through various methods using Python. It covers methods for extracting information from public profile pages, company data, job listings, and job searches with detailed code examples and best practices.

python

1 min to read

scrapfly.io

How to scrape LinkedIn profiles and companies

This article provides a step-by-step guide on how to scrape LinkedIn for company and individual profile URLs using pre-built scrapers from the Apify Store. It explains the usage of LinkedIn Company URL Finder and LinkedIn People Finder, detailing the input requirements and how to download the scraped data in multiple formats.

1 min to read

apify.com

How To Scrape LinkedIn

This tutorial shows how to scrape LinkedIn data to extract valuable information from public profiles that can assist in lead generation, recruiting, and market research. It details the use of various tools like Scrapy, Selenium, and BeautifulSoup to automate data collection efficiently.

python

1 min to read

pixiebrix.com

The Fine Line of LinkedIn Data Scraping: Legality, Consequences, and Best Practices | Engage AI

This article discusses the legality, risks, and best practices associated with data scraping on LinkedIn. It explores the implications of scraping activities, such as the potential for account bans and the balance between ethical and unethical scraping practices.

1 min to read

engage-ai.co

Scraping Data From LinkedIn: Pro Scraper’s Guide + Code | by Anthony Heath | Geek Culture | Medium

This guide demonstrates how to scrape data from LinkedIn using Python and Selenium, providing detailed instructions for setting up and executing the scraping process. It emphasizes legal considerations when scraping public domain data from the platform to maintain ethical practices.

python

1 min to read

medium.com

How to build a Web Scraper for LinkedIn | by Ahmed Negm | Medium

This article shows how to build and automate a web scraping tool to extract data from LinkedIn profiles using Selenium and Beautiful Soup, enabling users to collect posts and analyze workforce data. It contains step-by-step instructions along with code snippets and a GitHub repository link for further reference.

python

1 min to read

medium.com

Page 1 of 10

Linkedin Web Scraping Videos

Find the best web scraping videos for Linkedin. Learn how to get started scraping Linkedin.

Language
Code Level

This tutorial demonstrates how to automate LinkedIn data extraction by building a LinkedIn scraper using Apify automation and N8N workflow. Viewers will learn to collect profile information, posts, and engagement metrics without manual work, using a Python script alternative to streamline the process.

python
apify
n8n
Published
6 months ago
14 min Length
171 Likes
9.9K Views

This tutorial teaches how to use Relevance AI to efficiently scrape LinkedIn profile data, streamlining outreach, research, and lead generation tasks. The video demonstrates an automated AI workflow, significantly reducing the time required for manual data collection.

Published
7 months ago
4 min Length
13 Likes
1.1K Views

This tutorial demonstrates how to scrape up to 1,000 LinkedIn profiles daily using n8n automation to extract data into a Google Sheet. It covers setup and configuration, including setting up Google Search API credentials, all within a quick and easy process.

n8n
Published
9 months ago
13 min Length
1.7K Likes
75.1K Views

This tutorial demonstrates how to efficiently scrape LinkedIn posts using Bardeen AI after encountering challenges with the LinkedIn API and other methods. The video provides a step-by-step guide for setting up Bardeen AI, creating a scraper template, and exporting the scraped data effectively.

Published
11 months ago
15 min Length
43 Likes
3.3K Views

This tutorial teaches how to scrape LinkedIn profiles using Selenium, covering everything from setup to advanced scraping techniques. You will learn to extract key profile details and store the data in a JSON format for further use in data analysis or machine learning projects.

python
selenium
Published
1 year ago
83 min Length
177 Likes
11.8K Views

This video tutorial teaches how to build an automated LinkedIn post scraper using Make.com, demonstrating input setup through Google Sheets and building a scraper with Apify. By iterating through results, viewers will learn to organize scraped data effectively back into Google Sheets for further analysis.

apify
make.com
Published
1 year ago
14 min Length
333 Likes
22.5K Views

This video tutorial covers techniques for web scraping to gather unlimited data from various sources. It introduces strategies to effectively utilize outreach for client acquisition.

Published
1 year ago
11 min Length
299 Likes
14.4K Views
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